StyleGAN2: Optimized CUDA op FusedLeakyReLU not available, using native PyTorch fallback.
StyleGAN2: Optimized CUDA op UpFirDn2d not available, using native PyTorch fallback.
Refining Interps from Frechet Mean to SeFa
StyleGAN2 8
['1', '2', '3', '4', '5', '6', '7', '8']
Loading ../models/checkpoints/stylegan2/stylegan2_ffhq_1024.pt
dict_keys(['1', '2', '3', '4', '5', '6', '7', '8'])
dict_keys([0.0005, 0.001, 0.005, 0.01])
[37, 39, 37, 37, 36, 36, 33, 36, 40, 36]
StyleGAN2
Layer name : 8

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3000
Optimizing...
Iteration    Cost                       Gradient norm     
---------    -----------------------    --------------    
  1          +5.9685616822607910e+04    1.46497836e+03    
  2          +5.8266940078624881e+04    1.43298893e+03    
  3          +5.4128687069694737e+04    1.17268055e+03    
  4          +5.1542579920629149e+04    1.12834304e+03    
  5          +4.9909438149379188e+04    8.98473559e+02    
  6          +4.9521504202731878e+04    8.86497281e+02    
  7          +4.8573558007710541e+04    3.45103446e+02    
  8          +4.8361072568147189e+04    2.10470278e+02    
  9          +4.8281753245369415e+04    2.02474613e+02    
 10          +4.8229591063243555e+04    1.77971276e+02    
 11          +4.8192457118806757e+04    1.39796211e+02    
 12          +4.8177013096269817e+04    1.40864964e+02    
 13          +4.8163981249021119e+04    1.17221039e+02    
 14          +4.8160723196916457e+04    1.36117495e+02    
 15          +4.8150190471190144e+04    8.60685402e+01    
 16          +4.8143603723487024e+04    6.71322568e+01    
 17          +4.8138854398154072e+04    5.05467541e+01    
 18          +4.8137100085341721e+04    5.75845344e+01    
 19          +4.8133864368734445e+04    2.46134406e+01    
 20          +4.8133322771205909e+04    4.44971692e+01    
 21          +4.8131640679303928e+04    3.36430794e+01    
 22          +4.8130439651885274e+04    5.09509387e+01    
 23          +4.8127403204274538e+04    1.92452065e+01    
 24          +4.8127288269832570e+04    3.57294226e+01    
 25          +4.8126859040187410e+04    3.10223803e+01    
 26          +4.8125689339457022e+04    1.29070587e+01    
 27          +4.8125552193637021e+04    2.56832494e+01    
 28          +4.8125072677909287e+04    2.09955597e+01    
 29          +4.8124443160937641e+04    1.94002160e+01    
 30          +4.8123887775176969e+04    1.16484831e+01    
 31          +4.8123725436360386e+04    7.70057430e+00    
 32          +4.8123671312967446e+04    3.67977281e+00    
 33          +4.8123658920294787e+04    1.10227319e+00    
 34          +4.8123657718597555e+04    1.49833146e+00    
 35          +4.8123655926714411e+04    5.14906008e-01    
 36          +4.8123655781611313e+04    5.04501908e-01    
 37          +4.8123655576924757e+04    2.20860008e-01    
 38          +4.8123655526836075e+04    1.00236183e-01    
 39          +4.8123655509522403e+04    1.17434766e-01    
 40          +4.8123655499552420e+04    6.53756994e-02    
 41          +4.8123655495847292e+04    3.18094390e-02    
 42          +4.8123655495166844e+04    3.39688160e-02    
 43          +4.8123655494256644e+04    1.63358860e-02    
 44          +4.8123655494125152e+04    1.63839557e-02    
 45          +4.8123655493894090e+04    4.80694703e-03    
 46          +4.8123655493874045e+04    6.70468357e-03    
 47          +4.8123655493835904e+04    1.35862206e-03    
 48          +4.8123655493831691e+04    1.41248587e-03    
 49          +4.8123655493829952e+04    5.37670944e-04    
 50          +4.8123655493829479e+04    4.08453179e-04    
 51          +4.8123655493829363e+04    2.92439569e-04    
 52          +4.8123655493829348e+04    1.97195724e-04    
 53          +4.8123655493829290e+04    9.28065070e-05    
 54          +4.8123655493829203e+04    1.10380676e-04    
Terminated - min step_size reached after 54 iterations, 2458.53 seconds.

Aligned frechet basis path : ./geodesic_interp_basis/interpBasis_Frechet2SeFa_StyleGAN2_layer_8_thres_0.01_n_step_7_ovsht_idx_0_basisiter_100.npy
(Interpolation Subspace = Frechet Mean Basis) at Idx 1
3000
Optimizing...
Iteration    Cost                       Gradient norm     
---------    -----------------------    --------------    
  1          +5.9947939184971277e+04    1.53132380e+03    
  2          +5.8451687841783227e+04    1.51547660e+03    
  3          +5.4144521513253159e+04    1.19909692e+03    
  4          +5.1372833788593860e+04    1.14057733e+03    
  5          +4.9868728713733377e+04    9.38964041e+02    
  6          +4.9133362269601639e+04    7.78967358e+02    
  7          +4.8563122149107970e+04    5.41723719e+02    
  8          +4.8281806105765638e+04    3.32100033e+02    
  9          +4.8159702226284280e+04    1.20119658e+02    
 10          +4.8144359221858351e+04    1.21232769e+02    
 11          +4.8141543721699803e+04    1.45671473e+02    
 12          +4.8131868005356424e+04    1.05435644e+02    
 13          +4.8126237072343611e+04    9.45823914e+01    
 14          +4.8118762862252697e+04    4.45480003e+01    
 15          +4.8118372640555070e+04    5.16366245e+01    
 16          +4.8117063580045906e+04    3.51264436e+01    
 17          +4.8115879722423218e+04    2.01670154e+01    
 18          +4.8115492720666523e+04    3.61303943e+01    
 19          +4.8114324112983697e+04    1.95642823e+01    
 20          +4.8114136316505261e+04    2.49029364e+01    
 21          +4.8113590582233839e+04    1.20133281e+01    
 22          +4.8113393515039112e+04    1.14304611e+01    
 23          +4.8113225577486301e+04    5.19407669e+00    
 24          +4.8113205364061971e+04    9.75839446e+00    
 25          +4.8113137443653955e+04    6.70749460e+00    
 26          +4.8113072186957594e+04    2.18454124e+00    
 27          +4.8113067384931965e+04    1.76761883e+00    
 28          +4.8113065643463720e+04    1.44469750e+00    
 29          +4.8113065256231261e+04    1.44080840e+00    
 30          +4.8113064049370529e+04    8.09979009e-01    
 31          +4.8113063989206297e+04    8.94402312e+00    
 32          +4.8113063748661705e+04    8.93567603e+00    
 33          +4.8113062788283773e+04    8.90227975e+00    
 34          +4.8113058975670676e+04    8.76856882e+00    
 35          +4.8113044193634247e+04    8.23175584e+00    
 36          +4.8112992980128256e+04    6.05845413e+00    
 37          +4.8112954351309825e+04    4.63040980e+00    
 38          +4.8112928228880606e+04    1.95317709e+00    
 39          +4.8112925566051512e+04    1.36074661e+00    
 40          +4.8112924479382709e+04    8.81680413e-01    
 41          +4.8112924099327014e+04    5.99007033e-01    
 42          +4.8112923821101394e+04    1.80856748e-01    
 43          +4.8112923792810245e+04    6.80074511e-02    
 44          +4.8112923787131200e+04    5.35879830e-02    
 45          +4.8112923785935083e+04    6.51666785e-02    
 46          +4.8112923782702579e+04    2.47646689e-02    
 47          +4.8112923781985039e+04    1.61569063e-02    
 48          +4.8112923781645186e+04    1.11702561e-02    
 49          +4.8112923781478406e+04    7.65593468e-03    
 50          +4.8112923781396697e+04    5.49226659e-03    
 51          +4.8112923781356505e+04    3.74404766e-03    
 52          +4.8112923781336656e+04    2.70648370e-03    
 53          +4.8112923781326979e+04    1.84560012e-03    
 54          +4.8112923781322177e+04    1.32211651e-03    
 55          +4.8112923781319812e+04    9.15151627e-04    
 56          +4.8112923781318612e+04    6.51818076e-04    
 57          +4.8112923781318052e+04    4.65061259e-04    
 58          +4.8112923781317972e+04    3.02391119e-04    
 59          +4.8112923781317731e+04    2.69335660e-04    
 60          +4.8112923781317681e+04    2.51986608e-04    
 61          +4.8112923781317644e+04    2.33825570e-04    
 62          +4.8112923781317528e+04    1.48178525e-04    
Terminated - min step_size reached after 62 iterations, 2598.83 seconds.

Aligned frechet basis path : ./geodesic_interp_basis/interpBasis_Frechet2SeFa_StyleGAN2_layer_8_thres_0.01_n_step_7_ovsht_idx_2_basisiter_100.npy
3000
Optimizing...
Iteration    Cost                       Gradient norm     
---------    -----------------------    --------------    
  1          +6.0139768110829136e+04    1.50734580e+03    
  2          +5.8673344446139927e+04    1.49063603e+03    
  3          +5.4427493857826325e+04    1.20460404e+03    
  4          +5.1550617225333917e+04    1.09815006e+03    
  5          +5.0345477011706418e+04    1.02308779e+03    
  6          +4.8899192216951451e+04    5.27159228e+02    
  7          +4.8680962983587466e+04    4.99516581e+02    
  8          +4.8441601077043189e+04    2.87489022e+02    
  9          +4.8352307305682043e+04    1.74881226e+02    
 10          +4.8343753617118789e+04    2.77016319e+02    
 11          +4.8313382612796071e+04    2.15370765e+02    
 12          +4.8268304128633092e+04    1.22172800e+02    
 13          +4.8248690851183863e+04    1.03312775e+02    
 14          +4.8231597978942656e+04    1.12946721e+02    
 15          +4.8226636944141239e+04    1.83739822e+02    
 16          +4.8209781816576375e+04    1.29716952e+02    
 17          +4.8204047787203504e+04    1.60676680e+02    
 18          +4.8186650896491556e+04    9.09296358e+01    
 19          +4.8181841033492441e+04    1.18651187e+02    
 20          +4.8169033930010621e+04    5.37590592e+01    
 21          +4.8165643507988279e+04    1.08807651e+02    
 22          +4.8155579209082382e+04    6.05908404e+01    
 23          +4.8152561706408051e+04    7.76831013e+01    
 24          +4.8146060781405278e+04    3.55869644e+01    
 25          +4.8143457169236957e+04    4.57758374e+01    
 26          +4.8142342418149165e+04    6.24672527e+01    
 27          +4.8139166338465111e+04    3.04420219e+01    
 28          +4.8137883619011562e+04    2.68230489e+01    
 29          +4.8136852752518738e+04    3.66940569e+01    
 30          +4.8134840261386220e+04    3.12405565e+01    
 31          +4.8133288500832052e+04    3.91649199e+01    
 32          +4.8131813716269113e+04    4.71824825e+01    
 33          +4.8129556078905676e+04    3.61551767e+01    
 34          +4.8127817713050004e+04    3.89743265e+01    
 35          +4.8127107060889131e+04    4.96097428e+01    
 36          +4.8125159140936237e+04    2.00560495e+01    
 37          +4.8125083303164349e+04    3.09517202e+01    
 38          +4.8124804553670176e+04    2.59598938e+01    
 39          +4.8124147923755525e+04    8.02180399e+00    
 40          +4.8124033928702542e+04    1.01856962e+01    
 41          +4.8123876222818828e+04    1.42464728e+01    
 42          +4.8123585466677352e+04    9.71993260e+00    
 43          +4.8123459909249759e+04    9.44259738e+00    
 44          +4.8123400379260915e+04    1.21709434e+01    
 45          +4.8123233946876338e+04    5.15932823e+00    
 46          +4.8123232767133581e+04    5.70862658e+00    
 47          +4.8123228177351892e+04    5.39617821e+00    
 48          +4.8123212000176449e+04    4.11835600e+00    
 49          +4.8123193087583830e+04    1.95866417e+00    
 50          +4.8123188561180119e+04    3.05776238e-01    
 51          +4.8123188479645170e+04    1.66793878e-01    
 52          +4.8123188459139456e+04    9.83280315e-02    
 53          +4.8123188449914393e+04    2.60346383e-02    
 54          +4.8123188448839261e+04    1.97104128e-02    
 55          +4.8123188448388777e+04    1.21542079e-02    
 56          +4.8123188448210982e+04    8.68583189e-03    
 57          +4.8123188448124987e+04    4.37141387e-03    
 58          +4.8123188448095701e+04    4.62726997e-03    
 59          +4.8123188448079571e+04    2.81992276e-03    
 60          +4.8123188448071924e+04    9.48060389e-04    
 61          +4.8123188448070134e+04    8.47788527e-04    
 62          +4.8123188448069479e+04    4.47875881e-04    
 63          +4.8123188448069268e+04    3.68330719e-04    
 64          +4.8123188448069108e+04    2.95400967e-04    
 65          +4.8123188448069108e+04    3.29943704e-04    
Terminated - min step_size reached after 65 iterations, 2484.22 seconds.

Aligned frechet basis path : ./geodesic_interp_basis/interpBasis_Frechet2SeFa_StyleGAN2_layer_8_thres_0.01_n_step_7_ovsht_idx_3_basisiter_100.npy
3000
Optimizing...
Iteration    Cost                       Gradient norm     
---------    -----------------------    --------------    
  1          +6.0616669346844894e+04    1.56793020e+03    
  2          +5.9082748507797449e+04    1.55503232e+03    
  3          +5.4658154881921437e+04    1.24204246e+03    
  4          +5.1579112013852231e+04    1.12411532e+03    
  5          +5.0152509455008381e+04    9.66022617e+02    
  6          +4.9174959934231098e+04    6.71009104e+02    
  7          +4.8684939021919206e+04    4.20346335e+02    
  8          +4.8625271091550181e+04    4.86069998e+02    
  9          +4.8439894512901112e+04    2.87631551e+02    
 10          +4.8363941470115991e+04    2.80644628e+02    
 11          +4.8297617345565595e+04    2.32204373e+02    
 12          +4.8236605737567035e+04    1.12407343e+02    
 13          +4.8211617843104024e+04    1.22449151e+02    
 14          +4.8195754728047832e+04    1.02910464e+02    
 15          +4.8183934171219589e+04    7.48727993e+01    
 16          +4.8180569472065799e+04    9.14583159e+01    
 17          +4.8172562556959951e+04    3.64635703e+01    
 18          +4.8169175347390112e+04    4.87139287e+01    
 19          +4.8168101061433139e+04    5.92823122e+01    
 20          +4.8164864817778369e+04    3.22615965e+01    
 21          +4.8163316897925310e+04    1.73501016e+01    
 22          +4.8162998860426473e+04    2.33781643e+01    
 23          +4.8162342011773006e+04    7.08707779e+00    
 24          +4.8162273833372514e+04    4.27373754e+00    
 25          +4.8162267817516622e+04    4.44656786e+00    
 26          +4.8162251970361744e+04    1.48079054e+00    
 27          +4.8162250844575545e+04    1.44913062e+00    
 28          +4.8162248996300106e+04    4.24373897e-01    
 29          +4.8162248781340852e+04    2.37703212e-01    
 30          +4.8162248710636646e+04    2.19685647e-01    
 31          +4.8162248676055257e+04    1.53088076e-01    
 32          +4.8162248661039084e+04    1.09065257e-01    
 33          +4.8162248651645830e+04    5.42725562e-02    
 34          +4.8162248649909503e+04    4.50166918e-02    
 35          +4.8162248649491274e+04    4.41602641e-02    
 36          +4.8162248648230576e+04    2.25797231e-02    
 37          +4.8162248647824883e+04    1.07349130e-02    
 38          +4.8162248647781853e+04    1.07386628e-02    
 39          +4.8162248647682172e+04    2.39571335e-03    
 40          +4.8162248647671084e+04    2.18477030e-03    
 41          +4.8162248647666456e+04    9.76577141e-04    
 42          +4.8162248647666136e+04    1.35387012e-03    
 43          +4.8162248647665045e+04    8.19470696e-04    
 44          +4.8162248647664754e+04    7.27802730e-04    
 45          +4.8162248647664339e+04    2.36533163e-04    
 46          +4.8162248647664303e+04    2.57034308e-04    
 47          +4.8162248647664208e+04    8.79750020e-05    
 48          +4.8162248647664208e+04    8.69794271e-05    
Terminated - min step_size reached after 48 iterations, 2406.40 seconds.

Aligned frechet basis path : ./geodesic_interp_basis/interpBasis_Frechet2SeFa_StyleGAN2_layer_8_thres_0.01_n_step_7_ovsht_idx_4_basisiter_100.npy
3000
Optimizing...
Iteration    Cost                       Gradient norm     
---------    -----------------------    --------------    
  1          +6.0163953196548842e+04    1.54729054e+03    
  2          +5.8668965792128489e+04    1.49833320e+03    
  3          +5.4379471220741922e+04    1.18610475e+03    
  4          +5.1646748116770308e+04    1.10204391e+03    
  5          +5.0126163357760444e+04    9.31147065e+02    
  6          +4.9312447627738416e+04    7.74758087e+02    
  7          +4.8754895703832219e+04    5.92838028e+02    
  8          +4.8723129624849949e+04    6.49807266e+02    
  9          +4.8604676014495635e+04    5.65032730e+02    
 10          +4.8293814336743388e+04    2.21230280e+02    
 11          +4.8232815153769989e+04    9.35212752e+01    
 12          +4.8223975769745150e+04    6.95502223e+01    
 13          +4.8220643230482936e+04    6.23809233e+01    
 14          +4.8218546313168597e+04    5.25226642e+01    
 15          +4.8216950126418422e+04    3.72472414e+01    
 16          +4.8215792338585074e+04    1.23088794e+01    
 17          +4.8215653862332758e+04    2.74884030e+00    
 18          +4.8215642474723318e+04    2.49305251e+00    
 19          +4.8215637027112367e+04    4.69667863e-01    
 20          +4.8215635923921553e+04    8.95251978e+00    
 21          +4.8215631550611732e+04    8.79253206e+00    
 22          +4.8215614698583799e+04    8.14965550e+00    
 23          +4.8215558255293654e+04    5.54081094e+00    
 24          +4.8215535379463319e+04    1.09357687e+01    
 25          +4.8215456052114074e+04    8.05746238e+00    
 26          +4.8215387618329347e+04    1.05130054e+01    
 27          +4.8215234745088535e+04    2.56815120e+00    
 28          +4.8215230375705883e+04    2.84189377e+00    
 29          +4.8215222874822939e+04    8.25558388e-01    
 30          +4.8215222318199892e+04    4.71734282e-01    
 31          +4.8215222166881795e+04    2.38042469e-01    
 32          +4.8215222134511132e+04    1.45128391e-01    
 33          +4.8215222129019676e+04    1.24052994e-01    
 34          +4.8215222116501267e+04    1.87861805e-02    
 35          +4.8215222116160483e+04    8.17696471e-03    
 36          +4.8215222116136203e+04    1.20604341e-02    
 37          +4.8215222116058321e+04    7.30681867e-03    
 38          +4.8215222116033779e+04    5.55940812e-03    
 39          +4.8215222116027151e+04    5.09073524e-03    
 40          +4.8215222116008685e+04    2.00271115e-03    
 41          +4.8215222116005440e+04    8.69357728e-04    
 42          +4.8215222116004617e+04    3.87045640e-04    
 43          +4.8215222116004516e+04    5.48596715e-04    
 44          +4.8215222116004275e+04    1.26603689e-04    
 45          +4.8215222116004239e+04    1.03965838e-04    
 46          +4.8215222116004225e+04    1.02158375e-04    
 47          +4.8215222116004225e+04    1.01434271e-04    
Terminated - min step_size reached after 47 iterations, 2599.97 seconds.

Aligned frechet basis path : ./geodesic_interp_basis/interpBasis_Frechet2SeFa_StyleGAN2_layer_8_thres_0.01_n_step_7_ovsht_idx_5_basisiter_100.npy
3000
Optimizing...
Iteration    Cost                       Gradient norm     
---------    -----------------------    --------------    
  1          +5.9981904321806665e+04    1.48359398e+03    
  2          +5.8543200560697871e+04    1.45067389e+03    
  3          +5.4513752298373533e+04    1.12499675e+03    
  4          +5.2240840588660096e+04    1.09857521e+03    
  5          +5.0509486684881231e+04    8.54402741e+02    
  6          +5.0352440137387406e+04    1.00053418e+03    
  7          +4.9795863422208633e+04    8.00556297e+02    
  8          +4.8854146567052798e+04    3.82537988e+02    
  9          +4.8716430414232644e+04    4.97933986e+02    
 10          +4.8421259146676879e+04    1.96198495e+02    
 11          +4.8356214698194868e+04    2.46086301e+02    
 12          +4.8326572275029663e+04    2.46813927e+02    
 13          +4.8267968378032070e+04    5.84790822e+01    
 14          +4.8262792306831965e+04    5.24266407e+01    
 15          +4.8260612471409520e+04    4.79680484e+01    
 16          +4.8259990081110926e+04    5.20353938e+01    
 17          +4.8258130186193768e+04    2.78970165e+01    
 18          +4.8257319002132084e+04    1.46724437e+01    
 19          +4.8257106524829826e+04    1.52947043e+01    
 20          +4.8256984225967091e+04    1.64609896e+01    
 21          +4.8256710644336061e+04    1.03667843e+01    
 22          +4.8256584380552355e+04    7.50374224e+00    
 23          +4.8256556783285014e+04    6.73251848e+00    
 24          +4.8256512171738126e+04    2.19589088e+00    
 25          +4.8256508405247696e+04    8.94224213e-01    
 26          +4.8256507719888046e+04    4.24213099e-01    
 27          +4.8256507629436644e+04    4.81612265e-01    
 28          +4.8256507427823322e+04    1.13744974e-01    
 29          +4.8256507380420371e+04    9.58447991e-02    
 30          +4.8256507374805929e+04    5.40852579e-02    
 31          +4.8256507372344175e+04    1.21589364e-02    
 32          +4.8256507372188273e+04    1.38982334e-02    
 33          +4.8256507372119471e+04    1.28924237e-02    
 34          +4.8256507371976390e+04    2.43440892e-03    
 35          +4.8256507371952757e+04    9.54341949e-04    
 36          +4.8256507371951557e+04    1.43229214e-03    
 37          +4.8256507371950065e+04    5.80428340e-04    
 38          +4.8256507371949760e+04    2.20272657e-04    
 39          +4.8256507371949738e+04    1.06917652e-04    
 40          +4.8256507371949607e+04    4.11694115e-05    
 41          +4.8256507371949556e+04    2.87574366e-05    
Terminated - min step_size reached after 41 iterations, 2005.25 seconds.

Aligned frechet basis path : ./geodesic_interp_basis/interpBasis_Frechet2SeFa_StyleGAN2_layer_8_thres_0.01_n_step_7_ovsht_idx_6_basisiter_100.npy
3000
Optimizing...
Iteration    Cost                       Gradient norm     
---------    -----------------------    --------------    
  1          +6.0030338082008988e+04    1.54515827e+03    
  2          +5.8532547097923656e+04    1.50567141e+03    
  3          +5.4280603849127889e+04    1.16426884e+03    
  4          +5.1567278182664784e+04    1.10750651e+03    
  5          +5.0216367397386224e+04    9.26299334e+02    
  6          +4.9404157494999257e+04    6.95287361e+02    
  7          +4.9291966542088216e+04    7.10723955e+02    
  8          +4.8925785452106058e+04    4.74584133e+02    
  9          +4.8643170574648881e+04    2.04079128e+02    
 10          +4.8585291817255980e+04    1.47807451e+02    
 11          +4.8564562422702249e+04    2.17605742e+02    
 12          +4.8513924171655701e+04    1.00610735e+02    
 13          +4.8465623443350465e+04    1.73053032e+02    
 14          +4.8446569091196179e+04    2.56914321e+02    
 15          +4.8387752606127404e+04    1.51921908e+02    
 16          +4.8356229060630802e+04    1.65683542e+02    
 17          +4.8342147709678356e+04    1.78535633e+02    
 18          +4.8308847631688863e+04    5.61275850e+01    
 19          +4.8302851780120291e+04    5.93416265e+01    
 20          +4.8297596811214957e+04    4.24391437e+01    
 21          +4.8296311452434114e+04    6.39782375e+01    
 22          +4.8292510071026991e+04    3.57175612e+01    
 23          +4.8291800853903442e+04    4.96741516e+01    
 24          +4.8289653145543591e+04    2.65220932e+01    
 25          +4.8288637917370077e+04    2.13842785e+01    
 26          +4.8287654489198881e+04    2.60509633e+01    
 27          +4.8287550180362232e+04    3.39200067e+01    
 28          +4.8287167449335189e+04    2.83422852e+01    
 29          +4.8286281993338751e+04    1.22176763e+01    
 30          +4.8286122913981912e+04    1.71345169e+01    
 31          +4.8285722590702651e+04    1.42455870e+01    
 32          +4.8285383497097195e+04    1.36664991e+01    
 33          +4.8285115252707023e+04    5.88805574e+00    
 34          +4.8285092330988598e+04    5.09002630e+00    
 35          +4.8285086086397918e+04    4.84283877e+00    
 36          +4.8285068740712872e+04    1.92204224e+00    
 37          +4.8285065505589278e+04    7.54730587e-01    
 38          +4.8285065007646648e+04    5.21226393e-01    
 39          +4.8285064924259968e+04    5.74225422e-01    
 40          +4.8285064687830185e+04    2.48380549e-01    
 41          +4.8285064673802211e+04    2.92429968e-01    
 42          +4.8285064628338558e+04    1.82591135e-01    
 43          +4.8285064605525527e+04    1.18313190e-01    
 44          +4.8285064600389684e+04    1.10308012e-01    
 45          +4.8285064589864553e+04    2.07129989e-02    
 46          +4.8285064588552326e+04    1.77902777e-02    
 47          +4.8285064588548841e+04    2.33333108e-02    
 48          +4.8285064588535002e+04    2.29857169e-02    
 49          +4.8285064588481349e+04    2.15866124e-02    
 50          +4.8285064588295347e+04    1.58557231e-02    
 51          +4.8285064588174253e+04    1.21656666e-02    
 52          +4.8285064588147339e+04    1.16185642e-02    
 53          +4.8285064588065085e+04    6.16360496e-03    
 54          +4.8285064588033885e+04    2.15094783e-03    
 55          +4.8285064588030560e+04    2.01306922e-03    
 56          +4.8285064588029098e+04    1.90692230e-03    
 57          +4.8285064588026107e+04    3.55900285e-04    
 58          +4.8285064588025605e+04    3.48051715e-04    
 59          +4.8285064588025467e+04    1.25439076e-04    
 60          +4.8285064588025460e+04    1.38810166e-04    
 61          +4.8285064588025452e+04    8.30934203e-05    
 62          +4.8285064588025445e+04    4.58186548e-05    
 63          +4.8285064588025423e+04    8.26510755e-05    
Terminated - min step_size reached after 63 iterations, 2508.70 seconds.

Aligned frechet basis path : ./geodesic_interp_basis/interpBasis_Frechet2SeFa_StyleGAN2_layer_8_thres_0.01_n_step_7_ovsht_idx_7_basisiter_100.npy
3000
Optimizing...
Iteration    Cost                       Gradient norm     
---------    -----------------------    --------------    
  1          +5.9703779289712205e+04    1.52515887e+03    
  2          +5.8222671971614160e+04    1.48834471e+03    
  3          +5.3956227353506569e+04    1.19205239e+03    
  4          +5.1284502766914113e+04    1.11840653e+03    
  5          +4.9851253542900296e+04    9.11112438e+02    
  6          +4.9169497969005242e+04    7.47438826e+02    
  7          +4.8628509184180934e+04    4.81913435e+02    
  8          +4.8508771386953376e+04    3.97352332e+02    
  9          +4.8357531444650631e+04    1.71534819e+02    
 10          +4.8328549216763386e+04    6.72159486e+01    
 11          +4.8323997371182355e+04    4.46849924e+01    
 12          +4.8322029385145208e+04    1.81549135e+01    
 13          +4.8321561299415123e+04    1.38341119e+01    
 14          +4.8321402268689460e+04    2.00890691e+01    
 15          +4.8320987729193708e+04    1.21983223e+01    
 16          +4.8320665444002967e+04    1.77889886e+01    
 17          +4.8320143464669272e+04    1.70747270e+01    
 18          +4.8319717659034402e+04    1.13534591e+01    
 19          +4.8319553724632504e+04    4.99095451e+00    
 20          +4.8319537247176588e+04    3.67057244e+00    
 21          +4.8319526079623844e+04    1.46551088e+00    
 22          +4.8319524283984822e+04    7.64624703e-01    
 23          +4.8319523849822835e+04    5.75998895e-01    
 24          +4.8319523579132867e+04    3.15041804e-01    
 25          +4.8319523492449189e+04    1.92237040e-01    
 26          +4.8319523454951726e+04    9.10903906e-02    
 27          +4.8319523447410931e+04    1.10757954e-01    
 28          +4.8319523437914213e+04    5.26042537e-02    
 29          +4.8319523436871685e+04    5.14398116e-02    
 30          +4.8319523434562536e+04    1.05214286e-02    
 31          +4.8319523434415045e+04    1.75140869e-02    
 32          +4.8319523434152732e+04    2.92581978e-03    
 33          +4.8319523434145216e+04    3.02705792e-03    
 34          +4.8319523434141731e+04    2.76406700e-03    
 35          +4.8319523434135052e+04    5.23807441e-04    
 36          +4.8319523434134469e+04    6.22302794e-04    
 37          +4.8319523434134331e+04    4.95355801e-04    
 38          +4.8319523434134207e+04    1.82767279e-04    
 39          +4.8319523434134207e+04    2.13675720e-04    
Terminated - min step_size reached after 39 iterations, 1604.58 seconds.

Aligned frechet basis path : ./geodesic_interp_basis/interpBasis_Frechet2SeFa_StyleGAN2_layer_8_thres_0.01_n_step_7_ovsht_idx_8_basisiter_100.npy
